tensorflow + dalex = :) , or how to explain a TensorFlow model - KDnuggets

I will showcase how straightforward and convenient it is to explain a tensorflow predictive model using the dalex Python package. The introduction to this topic can be found in Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models. For this example, we will use the data from the World Happiness Report and predict the happiness scored according to economic production, social support, etc., for any given country. Let's first train the basic tensorflow model incorporating the experimental normalization layer for a better fit. The next step is to create a dalex Explainer object, which takes model and data as input.